Role overview

Qualifications

5 to 7+ years of experience in data engineering or a related technical field.
Expertise in SQL and advanced proficiency in at least one programming language (Python preferred).
Extensive hands‐on experience building scalable pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).
Strong experience designing and tuning distributed data processing systems at scale.

Responsibilities

Lead cross‐functional engineering initiatives and influence technical roadmaps.
Design and implement complex data models across multiple business domains.
Develop scalable data pipelines and workflows.
Thrive in agile, dynamic, and collaborative engineering teams.

Key facts

Remote from: Brazil
Full time
Senior (5-10 years)
Data Engineer
English

Hard skills

Microsoft Azure Databricks CI/CD SQL (Programming Language) Python (Programming Language) Data Processing Apache Spark Data Modeling Version Control DevOps Datastax Test Automation Continuous Monitoring Metadata Management Cataloguing Data Streaming Apache Kafka Azure Event Hubs Debugging

Other skills

Problem Solving
Analytical Skills
Collaboration

About the company

Sky Systems, Inc. (SkySys)

Information Technology & Services

Sky Systems, Inc. (DBA SkySys) is a technology consulting firm based out of Research Triangle Park, North Carolina, United States. SkySys specializes in Recruitment & Staffing, 24/7 On-Site & Remote Services, Managed Services Provider (MSP), Cisco Select Certified Partner and Dell Technology Partner, Contact Center Solutions (Cisco, Avaya, Genesys), Web Solutions, and other services. SkySys currently works with clients across the United States and Canada. Our list of clients include top Fortune 500 companies in various industries – Financial Services, Banking, Pharmaceutical, IT Service Providers, Healthcare, Oil & Gas, Government, Consulting and Outsourcing, Telecommunications, Insurance, Aerospace, Semiconductors, and many more.

Company details

Company typeStartup

IndustryInformation Technology & Services

Company size11 - 50

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

Role: Data Engineer
Position Type: Full-Time Contract (40hrs/week)
Contract Duration: 5 months+ (with a possibility of extension)
Work Schedule: 8 hours/day (Mon-Fri)
Location: 100% Remote - Candidates can work from anywhere in LATAM

MUST HAVE: Strong Azure. Strong Data bricks. CICD Pipelines.

5 to 7+ years of experience in data engineering or a related technical field.
Expertise in SQL and advanced proficiency in at least one programming language (Python preferred).
Extensive hands‐on experience building scalable pipelines and workflows in Databricks (Delta Lake, Spark, Unity Catalog, Jobs, Workflows).
Hands‐on experience with distributed data processing technologies such as Apache Spark.
Strong experience designing and tuning distributed data processing systems at scale.
Proven experience designing and implementing complex data models across multiple business domains.
Strong knowledge of version control, CI/CD, DevOps/DataOps, automated testing, and engineering best practices.
Ability to lead cross‐functional engineering initiatives and influence technical roadmaps.
Strong problem‐solving, debugging, and analytical skills, especially in complex, multi‐system environments.
Ability to thrive in agile, dynamic, and collaborative engineering teams.

Other TOOLS we prefer you to have:

Experience with Databricks Unity Catalog, Delta Live Tables, or Databricks Workflows.
DataOps experience (pipeline observability, monitoring, automated quality).
Knowledge of metadata management or cataloging platforms (Purview, Collibra, Alation).
Experience with streaming frameworks (Kafka, Event Hubs, Kinesis) used with Spark Structured Streaming.
Knowledge and experience working in an Agile environment.